#Oak Brook Vein Clinic

[chicagoveincenter]

Varicose veins insurance cover

Varicose veins insurance cover: everything you need to know Varicose veins can’t only be a cosmetic problem, but also a medical problem that needs to be treated. If you’re dealing with varicose veins, it’s important that you know your insurance cover. Here’s a comprehensive guide to help you familiarize yourself with insurance coverage for varicose veins: Varicose veins insurance…

[charmingskinus]

If you find the experienced provider of sclerotherapy Chicago? You can get rid of unwanted aging signs with Botox treatment at Charming Skin & Vein Clinics. For Booking an Appointment you can contact us at 630-974-1400 now.

Address: 2425 West 22nd Street #216 Oak Brook, IL 60523 Tel. No.: 630-974-1400 Email: Doctor@charmingskin.com

[progressiveskincare]

How Best Botox Chicago Can Treat Your Dynamic Wrinkles?

Botox can remove your dynamic wrinkles within three months. How many times have you read a statement like this and might be thinking what are dynamic wrinkles?  Find out whether the wrinkles you have on your skin are static or dynamic. Then you can get the best Botox Chicago treatment to treat your wrinkles, fine lines, and furrow lines.

Find out what are static or dynamic wrinkles Before you know what best Botox Chicago can and can’t do, you must be aware of the difference between dynamic and static wrinkles: Static Wrinkles – The skin loses elasticity as we age. The fat stores and collagen stored in the skin get depleted leaving behind the lax and droopy skin. You can get fine lines or creases on your skin due to stretched or deflated skin. It is named as static wrinkles. The dermal fillers can be used to treat the facial lines and static wrinkles. Dynamic Wrinkles – Every time you smile, laugh, squint or frown eyes you make use of your facial muscles. These repetitive action leads to form crimped area forming dynamic wrinkles. The best Botox Chicago is an effective treatment to treat your dynamic wrinkles. So, if you are thinking of getting the best Botox Chicago, Visit Charming Skin & Vein Clinics in Oak Brook, Chicago or Orland Park area for your queries for dynamic wrinkles treatment. Our experts can help you get back your natural and young look.

[restylanechicago]

Look years younger in just a few minutes!

It has been claimed that with the time it takes an average person to take an effective shower, a good dermatologist can make you look years younger. This is the magic that Restylane offers. I got curious about it and chose to take a closer look at it and see what the fuss was all about.

Well, in itself, Restylane is an injectable filler treatment that is designed to help fill wrinkles and age-lines as well as create a moist and lubricated feel to the skin making it look years younger. As compared to other filler treatments, Restylane has a far lower chance of causing side effects or even allergic reactions as it contains bacteria proteins as opposed to the bird proteins contained in most other fillers. Where can you have it done?

The use of Restylane has become common among dermatologists as it is highly demanded. However, it important that you get the right Restylane Des Plaines treatment. To do so, try visiting any of the Charming Skin & Veins clinics either in Oak Brook, Des Plaines or even Oland Park. The doctors here are trained professionals who not only know how to do Des Plaines Restylane right, but can also advise you on how to recover faster and better.

[realselfblog]

Can AI Make Healthcare Human Again? Dr. Topol Says “Yes”

“The Fourth Industrial Age,” Dr. Abraham Verghese writes, “has great potential to help, but also to harm, to exaggerate the profound gap that already exists between those who have much and those who have less each passing year.”

Dr. Verghese asserts this in his forward to Deep Medicine, Dr. Eric Topol’s latest work which explores the promise of artificial intelligence (AI), Big Data, and robotics — three legs of the Fourth Industrial Age stool.

[If you don’t know the work of Dr. Verghese, and since you’re reading the Health Populi blog, you must get to know Dr. V now. Your first dip into his wisdom should be “A Doctor’s Touch,” his TED talk from 2011 with over 1.5 million views. You will thank me for pointing you to this pearl. You will want to know more. But before diving deeply, let’s return to the main vein of this post, Dr. T’s latest].

We want our physicians to know us, deeply indeed, through all of our “omes:” genome, proteome, metabolome, transcriptome, and so on, Dr. V observes. We want our physicians to give us time and attention, “to acknowledge the locus of disease on our body and not on a biopsy or an image or a report,” he continues.

Ultimately, we want our doctors to know, “what we live for and would die for,” Dr. V concludes his forward.

Thus begins the promise of Deep Medicine, and how AI can make healthcare human again, via Dr. Topol’s tagline to the title.

This book picks up where The Patient Will See You Now and The Creative Destruction of Medicine leave off…on the future of medicine, versus what’s led up to where we are now. In the first chapter introducing the concept of “deep medicine,” Dr. Topol starts with the

He follows up the promise of AI in chapter two, discussing the deep economic mess American health care is in. This is familiar territory here in Health Populi where we cover every nook and cranny of dismal U.S. health economics, and hopeful green shoots for making health care more cost-effective, high quality, engaging and even enchanting-by-design. “Shallow Medicine” is the theme of this discussion, which includes the word cloud shown here describing Americans’ views on doctors in 2017, published in a JAMA Surgery article called, “Patient Perceptions About Their Physician in 2 Words: The Good, the Bad, and the Ugly.”

The U.S. spends too much money for too little ROI on that spending, from hospital care and dental services to prescription drugs and what ultimately illustrates wasted life and potential in American society: maternal, infant and child mortality, which is by far the worst outcome in a developed nation and as bad as some much poorer countries experience.

Shallow calls for Going Deep for medical diagnosis, Dr. Topol argues, talking about the opportunities afforded by looking at a cluster of symptoms, second (or more) opinions, crowdsourcing diagnoses, and leveraging citizen science: the role of engaged lay people who share the details of their illnesses and pay-it-forward through that sharing — for peer patients today, and future patients.

Dr. Topol then teaches us about the Skinny on Deep Learning, making sure we understand that getting labels and “ground truths” right is critical for building useful algorithms. But wait — what’s an algorithm, anyway? It’s more than “if this, then that,” Dr. T. warns. He quotes Massimo Mazzotti of UC Berkeley, who calls out that “algorithm” means a program running on a physical machine, as well as its effects on other systems. This is obviously important as doctors grow to count on AI in medicine with a systems perspective on human health.

Furthermore, Dr. T. refers us to Yuval Noah Harari whose book Homo Deus is groundbreaking (and a must-read for Health Populi readers, too). “‘Algorithm’ is arguably the single most important concept in our world. If we want to understand our life and our future, we should make every effort to understand what an algorithm is, and how algorithms are connected with emotions….99 percent of our decisions…are made by the highly refined algorithms we call sensations, emotions and desires,” Harari wrote in his book. He’s very concerned about faith in algorithms’ power, Dr. T observes, noting Harari says that faith is “dataism.”

With this caveat in mind, Dr. T explains that algorithms lie on a continuum from human guided to entirely machine guided. These latter algorithms are the deep learning ones, deep neural networks (DNNs). Four converging forces underlie DNNs:

Big Data sets

Dedicated graphic processing units (GPUs) which are the founding for speedy computations

Cloud computing and the ability to store massive amounts of data, and

Open-source algorithms.

DNNs have already been adopted in gaming, images (useful for image recognition for biometrics, for example), voice/speech/translation, and autonomous cars. Ironically, Dr T points out that “neural networks” really aren’t all that “neural.” Brains really don’t work like machines.

Deep learning AI complements human learning, Dr. T asserts. There’s bias in algorithms, and bias in human thinking, too, explored in the chapter “Deep Liabilities.” We know bias is, “baked into the system,” Dr. T admits, because patients in clinical trials are rarely generalizable to the overall population. The inequities have medical implications, Harari wrote in Homo Deus: “twentieth century medicine aimed to heal the sick, but twenty-first century medicine is increasingly aiming to upgrade the healthy.” There’s an AI-fueled gap between have’s and have not’s, with AI biases often adversely impacting the most vulnerable people in society.

With this further caveat in mind, recognizing that U.S. public policy in current form protects neither the vulnerable nor the hackable, Dr. T talks about the promise of AI to enhance doctors’ ability to diagnose conditions “with patterns” and without patterns, along with detecting and supporting patients’ mental health. AI also supports health system management (like preventing readmissions or predicting staff requirements over a time period), discovering cures, informing nutrition based on N’s of 1’s, and providing care to people who may live in rural or under-served areas.

The promise is to drive Deep Empathy, the last chapter hopefully concludes. An introductory quote from Aldous Huxley (author of Brave New World) suggests where this section will go: “By these means we may hope to achieve not indeed a brave new world, no sort of perfectionist Utopia, but the more modest, and much more desirable objective — a genuinely human society.” Ideally, AI can give the clinician and the patient the gift of time, replacing the “scut work” and wasted work-flow with time to be human. Beyond time, people on both sides of the diagnosis and treatment process desire empathy. No machine will alleviate “suffering,” Dr T writes: this requires human-to-human bonding, time and trust.

The last page of the book takes on the book’s title, “Deep Medicine.” “We’re still in the earliest days of AI in medicine….long on computer algorithmic validation…but very short on real-world, clinical proof of effectiveness,” Dr T realizes. The triad of deep phenotyping, understanding a person’s many layered-data, deep learning, and deep empathy, could remedy the economic unsustainability in healthcare, he hypothesizes. That comes second to what’s even more important, bringing the book’s optimistic tagline full circle: “Presence. Empathy. Trust. Caring. Being Human.”

AI can help us restore the humanity between physicians and patients. At the end, Dr T says we must embrace the opportunity to do so.

Health Populi’s Hot Points:  In an essay last week in Brookings, Bob Kocher and Zeke Emanuel ask the question, “Will Robots Replace Doctors?”  Kocher, a long-time venture capitalist who has funded many a health care innovator via the VC firm Venrock, and Dr. Emanuel, who heads the Department of Medical Ethics and Health Policy at the University of Pennsylvania along with being a venture partner at Oak HC/FT, speak to the public policy, economic, clinical and all-to-human challenge of AI bias. “Before we entrust our care to AI systems and ‘doctor robots,’ we must first commit to identifying bias in datasets and fixing them as much as possible. Furthermore, AI systems need to be evaluated not just on the accuracy of their recommendations, but also on whether they perpetuate or mitigate disparities in care and outcomes,” Kocher and Emanuel assert.

Addressing biased data sets and algorithms must be part of a new deal on health citizenship for Americans, who must also be in control of their personal health data and have a right to quality health care without regard to what state they live in, or whether they’re urban or rural communities. Bias delivered via AI is still bias, and would reinforce and exacerbate the health disparities that have marred American health care for decades and continue to do so.

My family and I are proponents of the Slow Food Movement. Founded in Italy, Slow Food is based on the idea that eating locally sourced food, cooked at home, by hand, shared and savored with other people bolsters health on all levels – physical, emotional, financial. That Eric Topol devoted an entire chapter to “Deep Diet” is further evidence that the good doctor gets more than digital health innovations: he also embraces the importance of food-as-medicine and nutrition as a social determinant of health, also one of grand disparities underlying health inequity in the U.S.

One of our family mantras (in addition to Slow Food and the importance and gift of shared family mealtime) we ingrained in our daughter was to “go slow to go fast.” Festina lente, an Italian grandmother might quote Emperor Augustus or the Medici clan: “make haste, slowly.”

With AI married to medicine, we can “go fast to go slow,” to the benefit of both patient and provider.

The post Can AI Make Healthcare Human Again? Dr. Topol Says “Yes” appeared first on HealthPopuli.com.

Can AI Make Healthcare Human Again? Dr. Topol Says “Yes” posted first on http://dentistfortworth.blogspot.com

[titheguerrero]

Can AI Make Healthcare Human Again? Dr. Topol Says “Yes”

“The Fourth Industrial Age,” Dr. Abraham Verghese writes, “has great potential to help, but also to harm, to exaggerate the profound gap that already exists between those who have much and those who have less each passing year.”

Dr. Verghese asserts this in his forward to Deep Medicine, Dr. Eric Topol’s latest work which explores the promise of artificial intelligence (AI), Big Data, and robotics — three legs of the Fourth Industrial Age stool.

[If you don’t know the work of Dr. Verghese, and since you’re reading the Health Populi blog, you must get to know Dr. V now. Your first dip into his wisdom should be “A Doctor’s Touch,” his TED talk from 2011 with over 1.5 million views. You will thank me for pointing you to this pearl. You will want to know more. But before diving deeply, let’s return to the main vein of this post, Dr. T’s latest].

We want our physicians to know us, deeply indeed, through all of our “omes:” genome, proteome, metabolome, transcriptome, and so on, Dr. V observes. We want our physicians to give us time and attention, “to acknowledge the locus of disease on our body and not on a biopsy or an image or a report,” he continues.

Ultimately, we want our doctors to know, “what we live for and would die for,” Dr. V concludes his forward.

Thus begins the promise of Deep Medicine, and how AI can make healthcare human again, via Dr. Topol’s tagline to the title.

This book picks up where The Patient Will See You Now and The Creative Destruction of Medicine leave off…on the future of medicine, versus what’s led up to where we are now. In the first chapter introducing the concept of “deep medicine,” Dr. Topol starts with the

He follows up the promise of AI in chapter two, discussing the deep economic mess American health care is in. This is familiar territory here in Health Populi where we cover every nook and cranny of dismal U.S. health economics, and hopeful green shoots for making health care more cost-effective, high quality, engaging and even enchanting-by-design. “Shallow Medicine” is the theme of this discussion, which includes the word cloud shown here describing Americans’ views on doctors in 2017, published in a JAMA Surgery article called, “Patient Perceptions About Their Physician in 2 Words: The Good, the Bad, and the Ugly.”

The U.S. spends too much money for too little ROI on that spending, from hospital care and dental services to prescription drugs and what ultimately illustrates wasted life and potential in American society: maternal, infant and child mortality, which is by far the worst outcome in a developed nation and as bad as some much poorer countries experience.

Shallow calls for Going Deep for medical diagnosis, Dr. Topol argues, talking about the opportunities afforded by looking at a cluster of symptoms, second (or more) opinions, crowdsourcing diagnoses, and leveraging citizen science: the role of engaged lay people who share the details of their illnesses and pay-it-forward through that sharing — for peer patients today, and future patients.

Dr. Topol then teaches us about the Skinny on Deep Learning, making sure we understand that getting labels and “ground truths” right is critical for building useful algorithms. But wait — what’s an algorithm, anyway? It’s more than “if this, then that,” Dr. T. warns. He quotes Massimo Mazzotti of UC Berkeley, who calls out that “algorithm” means a program running on a physical machine, as well as its effects on other systems. This is obviously important as doctors grow to count on AI in medicine with a systems perspective on human health.

Furthermore, Dr. T. refers us to Yuval Noah Harari whose book Homo Deus is groundbreaking (and a must-read for Health Populi readers, too). “‘Algorithm’ is arguably the single most important concept in our world. If we want to understand our life and our future, we should make every effort to understand what an algorithm is, and how algorithms are connected with emotions….99 percent of our decisions…are made by the highly refined algorithms we call sensations, emotions and desires,” Harari wrote in his book. He’s very concerned about faith in algorithms’ power, Dr. T observes, noting Harari says that faith is “dataism.”

With this caveat in mind, Dr. T explains that algorithms lie on a continuum from human guided to entirely machine guided. These latter algorithms are the deep learning ones, deep neural networks (DNNs). Four converging forces underlie DNNs:

Big Data sets

Dedicated graphic processing units (GPUs) which are the founding for speedy computations

Cloud computing and the ability to store massive amounts of data, and

Open-source algorithms.

DNNs have already been adopted in gaming, images (useful for image recognition for biometrics, for example), voice/speech/translation, and autonomous cars. Ironically, Dr T points out that “neural networks” really aren’t all that “neural.” Brains really don’t work like machines.

Deep learning AI complements human learning, Dr. T asserts. There’s bias in algorithms, and bias in human thinking, too, explored in the chapter “Deep Liabilities.” We know bias is, “baked into the system,” Dr. T admits, because patients in clinical trials are rarely generalizable to the overall population. The inequities have medical implications, Harari wrote in Homo Deus: “twentieth century medicine aimed to heal the sick, but twenty-first century medicine is increasingly aiming to upgrade the healthy.” There’s an AI-fueled gap between have’s and have not’s, with AI biases often adversely impacting the most vulnerable people in society.

With this further caveat in mind, recognizing that U.S. public policy in current form protects neither the vulnerable nor the hackable, Dr. T talks about the promise of AI to enhance doctors’ ability to diagnose conditions “with patterns” and without patterns, along with detecting and supporting patients’ mental health. AI also supports health system management (like preventing readmissions or predicting staff requirements over a time period), discovering cures, informing nutrition based on N’s of 1’s, and providing care to people who may live in rural or under-served areas.

The promise is to drive Deep Empathy, the last chapter hopefully concludes. An introductory quote from Aldous Huxley (author of Brave New World) suggests where this section will go: “By these means we may hope to achieve not indeed a brave new world, no sort of perfectionist Utopia, but the more modest, and much more desirable objective — a genuinely human society.” Ideally, AI can give the clinician and the patient the gift of time, replacing the “scut work” and wasted work-flow with time to be human. Beyond time, people on both sides of the diagnosis and treatment process desire empathy. No machine will alleviate “suffering,” Dr T writes: this requires human-to-human bonding, time and trust.

The last page of the book takes on the book’s title, “Deep Medicine.” “We’re still in the earliest days of AI in medicine….long on computer algorithmic validation…but very short on real-world, clinical proof of effectiveness,” Dr T realizes. The triad of deep phenotyping, understanding a person’s many layered-data, deep learning, and deep empathy, could remedy the economic unsustainability in healthcare, he hypothesizes. That comes second to what’s even more important, bringing the book’s optimistic tagline full circle: “Presence. Empathy. Trust. Caring. Being Human.”

AI can help us restore the humanity between physicians and patients. At the end, Dr T says we must embrace the opportunity to do so.

Health Populi’s Hot Points:  In an essay last week in Brookings, Bob Kocher and Zeke Emanuel ask the question, “Will Robots Replace Doctors?”  Kocher, a long-time venture capitalist who has funded many a health care innovator via the VC firm Venrock, and Dr. Emanuel, who heads the Department of Medical Ethics and Health Policy at the University of Pennsylvania along with being a venture partner at Oak HC/FT, speak to the public policy, economic, clinical and all-to-human challenge of AI bias. “Before we entrust our care to AI systems and ‘doctor robots,’ we must first commit to identifying bias in datasets and fixing them as much as possible. Furthermore, AI systems need to be evaluated not just on the accuracy of their recommendations, but also on whether they perpetuate or mitigate disparities in care and outcomes,” Kocher and Emanuel assert.

Addressing biased data sets and algorithms must be part of a new deal on health citizenship for Americans, who must also be in control of their personal health data and have a right to quality health care without regard to what state they live in, or whether they’re urban or rural communities. Bias delivered via AI is still bias, and would reinforce and exacerbate the health disparities that have marred American health care for decades and continue to do so.

My family and I are proponents of the Slow Food Movement. Founded in Italy, Slow Food is based on the idea that eating locally sourced food, cooked at home, by hand, shared and savored with other people bolsters health on all levels – physical, emotional, financial. That Eric Topol devoted an entire chapter to “Deep Diet” is further evidence that the good doctor gets more than digital health innovations: he also embraces the importance of food-as-medicine and nutrition as a social determinant of health, also one of grand disparities underlying health inequity in the U.S.

One of our family mantras (in addition to Slow Food and the importance and gift of shared family mealtime) we ingrained in our daughter was to “go slow to go fast.” Festina lente, an Italian grandmother might quote Emperor Augustus or the Medici clan: “make haste, slowly.”

With AI married to medicine, we can “go fast to go slow,” to the benefit of both patient and provider.

The post Can AI Make Healthcare Human Again? Dr. Topol Says “Yes” appeared first on HealthPopuli.com.

Article source:Health Populi

[maxihealth]

Can AI Make Healthcare Human Again? Dr. Topol Says “Yes”

“The Fourth Industrial Age,” Dr. Abraham Verghese writes, “has great potential to help, but also to harm, to exaggerate the profound gap that already exists between those who have much and those who have less each passing year.”

Dr. Verghese asserts this in his forward to Deep Medicine, Dr. Eric Topol’s latest work which explores the promise of artificial intelligence (AI), Big Data, and robotics — three legs of the Fourth Industrial Age stool.

[If you don’t know the work of Dr. Verghese, and since you’re reading the Health Populi blog, you must get to know Dr. V now. Your first dip into his wisdom should be “A Doctor’s Touch,” his TED talk from 2011 with over 1.5 million views. You will thank me for pointing you to this pearl. You will want to know more. But before diving deeply, let’s return to the main vein of this post, Dr. T’s latest].

We want our physicians to know us, deeply indeed, through all of our “omes:” genome, proteome, metabolome, transcriptome, and so on, Dr. V observes. We want our physicians to give us time and attention, “to acknowledge the locus of disease on our body and not on a biopsy or an image or a report,” he continues.

Ultimately, we want our doctors to know, “what we live for and would die for,” Dr. V concludes his forward.

Thus begins the promise of Deep Medicine, and how AI can make healthcare human again, via Dr. Topol’s tagline to the title.

This book picks up where The Patient Will See You Now and The Creative Destruction of Medicine leave off…on the future of medicine, versus what’s led up to where we are now. In the first chapter introducing the concept of “deep medicine,” Dr. Topol starts with the

He follows up the promise of AI in chapter two, discussing the deep economic mess American health care is in. This is familiar territory here in Health Populi where we cover every nook and cranny of dismal U.S. health economics, and hopeful green shoots for making health care more cost-effective, high quality, engaging and even enchanting-by-design. “Shallow Medicine” is the theme of this discussion, which includes the word cloud shown here describing Americans’ views on doctors in 2017, published in a JAMA Surgery article called, “Patient Perceptions About Their Physician in 2 Words: The Good, the Bad, and the Ugly.”

The U.S. spends too much money for too little ROI on that spending, from hospital care and dental services to prescription drugs and what ultimately illustrates wasted life and potential in American society: maternal, infant and child mortality, which is by far the worst outcome in a developed nation and as bad as some much poorer countries experience.

Shallow calls for Going Deep for medical diagnosis, Dr. Topol argues, talking about the opportunities afforded by looking at a cluster of symptoms, second (or more) opinions, crowdsourcing diagnoses, and leveraging citizen science: the role of engaged lay people who share the details of their illnesses and pay-it-forward through that sharing — for peer patients today, and future patients.

Dr. Topol then teaches us about the Skinny on Deep Learning, making sure we understand that getting labels and “ground truths” right is critical for building useful algorithms. But wait — what’s an algorithm, anyway? It’s more than “if this, then that,” Dr. T. warns. He quotes Massimo Mazzotti of UC Berkeley, who calls out that “algorithm” means a program running on a physical machine, as well as its effects on other systems. This is obviously important as doctors grow to count on AI in medicine with a systems perspective on human health.

Furthermore, Dr. T. refers us to Yuval Noah Harari whose book Homo Deus is groundbreaking (and a must-read for Health Populi readers, too). “‘Algorithm’ is arguably the single most important concept in our world. If we want to understand our life and our future, we should make every effort to understand what an algorithm is, and how algorithms are connected with emotions….99 percent of our decisions…are made by the highly refined algorithms we call sensations, emotions and desires,” Harari wrote in his book. He’s very concerned about faith in algorithms’ power, Dr. T observes, noting Harari says that faith is “dataism.”

With this caveat in mind, Dr. T explains that algorithms lie on a continuum from human guided to entirely machine guided. These latter algorithms are the deep learning ones, deep neural networks (DNNs). Four converging forces underlie DNNs:

Big Data sets

Dedicated graphic processing units (GPUs) which are the founding for speedy computations

Cloud computing and the ability to store massive amounts of data, and

Open-source algorithms.

DNNs have already been adopted in gaming, images (useful for image recognition for biometrics, for example), voice/speech/translation, and autonomous cars. Ironically, Dr T points out that “neural networks” really aren’t all that “neural.” Brains really don’t work like machines.

Deep learning AI complements human learning, Dr. T asserts. There’s bias in algorithms, and bias in human thinking, too, explored in the chapter “Deep Liabilities.” We know bias is, “baked into the system,” Dr. T admits, because patients in clinical trials are rarely generalizable to the overall population. The inequities have medical implications, Harari wrote in Homo Deus: “twentieth century medicine aimed to heal the sick, but twenty-first century medicine is increasingly aiming to upgrade the healthy.” There’s an AI-fueled gap between have’s and have not’s, with AI biases often adversely impacting the most vulnerable people in society.

With this further caveat in mind, recognizing that U.S. public policy in current form protects neither the vulnerable nor the hackable, Dr. T talks about the promise of AI to enhance doctors’ ability to diagnose conditions “with patterns” and without patterns, along with detecting and supporting patients’ mental health. AI also supports health system management (like preventing readmissions or predicting staff requirements over a time period), discovering cures, informing nutrition based on N’s of 1’s, and providing care to people who may live in rural or under-served areas.

The promise is to drive Deep Empathy, the last chapter hopefully concludes. An introductory quote from Aldous Huxley (author of Brave New World) suggests where this section will go: “By these means we may hope to achieve not indeed a brave new world, no sort of perfectionist Utopia, but the more modest, and much more desirable objective — a genuinely human society.” Ideally, AI can give the clinician and the patient the gift of time, replacing the “scut work” and wasted work-flow with time to be human. Beyond time, people on both sides of the diagnosis and treatment process desire empathy. No machine will alleviate “suffering,” Dr T writes: this requires human-to-human bonding, time and trust.

The last page of the book takes on the book’s title, “Deep Medicine.” “We’re still in the earliest days of AI in medicine….long on computer algorithmic validation…but very short on real-world, clinical proof of effectiveness,” Dr T realizes. The triad of deep phenotyping, understanding a person’s many layered-data, deep learning, and deep empathy, could remedy the economic unsustainability in healthcare, he hypothesizes. That comes second to what’s even more important, bringing the book’s optimistic tagline full circle: “Presence. Empathy. Trust. Caring. Being Human.”

AI can help us restore the humanity between physicians and patients. At the end, Dr T says we must embrace the opportunity to do so.

Health Populi’s Hot Points:  In an essay last week in Brookings, Bob Kocher and Zeke Emanuel ask the question, “Will Robots Replace Doctors?”  Kocher, a long-time venture capitalist who has funded many a health care innovator via the VC firm Venrock, and Dr. Emanuel, who heads the Department of Medical Ethics and Health Policy at the University of Pennsylvania along with being a venture partner at Oak HC/FT, speak to the public policy, economic, clinical and all-to-human challenge of AI bias. “Before we entrust our care to AI systems and ‘doctor robots,’ we must first commit to identifying bias in datasets and fixing them as much as possible. Furthermore, AI systems need to be evaluated not just on the accuracy of their recommendations, but also on whether they perpetuate or mitigate disparities in care and outcomes,” Kocher and Emanuel assert.

Addressing biased data sets and algorithms must be part of a new deal on health citizenship for Americans, who must also be in control of their personal health data and have a right to quality health care without regard to what state they live in, or whether they’re urban or rural communities. Bias delivered via AI is still bias, and would reinforce and exacerbate the health disparities that have marred American health care for decades and continue to do so.

My family and I are proponents of the Slow Food Movement. Founded in Italy, Slow Food is based on the idea that eating locally sourced food, cooked at home, by hand, shared and savored with other people bolsters health on all levels – physical, emotional, financial. That Eric Topol devoted an entire chapter to “Deep Diet” is further evidence that the good doctor gets more than digital health innovations: he also embraces the importance of food-as-medicine and nutrition as a social determinant of health, also one of grand disparities underlying health inequity in the U.S.

One of our family mantras (in addition to Slow Food and the importance and gift of shared family mealtime) we ingrained in our daughter was to “go slow to go fast.” Festina lente, an Italian grandmother might quote Emperor Augustus or the Medici clan: “make haste, slowly.”

With AI married to medicine, we can “go fast to go slow,” to the benefit of both patient and provider.

The post Can AI Make Healthcare Human Again? Dr. Topol Says “Yes” appeared first on HealthPopuli.com.

Can AI Make Healthcare Human Again? Dr. Topol Says “Yes” posted first on https://carilloncitydental.blogspot.com

[botoxchicago]

WHY MAY TRUST BOTOX OVER ALL

There are few chosen skin rejuvenation methods that many can term as permanent. Most of these still need a re-do every six to seven months; and these are the ones considered permanent. Well, for the longest time, women have leaned on the ease and safety of using Botox Chicago. Many who come from the age when it was introduced actually swear by it; nothing can beat it. Why though?

First of all, just to get you in the know, Botox is a word coined from Botolium Toxin, the toxin used in the procedure. The procedure itself makes use of the Botolium Toxin solution, where it is injected into specified areas of the skin in order to tighten it and thus, get rid of aging lines. The procedure has evolved over the years as you will see in most Chicago Botox clinics. However, the reason why many still swear by it is the fact that among the numerous facelift options, Botox is the only one that actually has a lasting effect to the skin; when done right. You therefore need to ensure that you use an Oak Brook Botox clinic like Charming Skin &Veins Clinics that are licensed and experienced.

[varicoseveinstherapychicago]

Charming Skin & Vein Clinic offers best varicose vein treatment

Veins are blood vessels that return the deoxygenated blood from the outer parts of the body back to heart and lungs. When veins become abnormally thick with twist and turns or become enlarged, they are called varicose veins. This happens most commonly in the veins of legs and thighs. Varicose veins tend to be inherited, and become more prominent as a person ages.

There are many options to get rid of them like laser treatment, Sclerotherapy, surgical methods etc. Whether you are seeking treatment for spider veins or varicose veins, the important thing is finding a qualified specialists for it. Charming Skin & Vein Clinic provides best treatment to get rid of vein problem by using the latest and most innovative vein laser treatments in Chicago.

This type of treatment requires more than one session, scheduled after 6 to 12 weeks, or as prescribed by the physician/Doctor. Our laser vein therapy in Chicago is best for spider veins. We ensure, all our customer’s requests are handled with utmost care, to make the experience as comfortable and as satisfying as possible.

So, if you are looking for the laser vein treatment in Oak Brook, Chicago, Orland Park and Oak Brook, Charming Skin & Vein Clinic offers the top varicose veins treatment. We have a team of experienced Doctors, Dermatologists and Laser experts who do best laser vein therapy in Oak Brook.

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Spider Veins vs. Varicose Veins

Spider Veins vs. Varicose Veins: Demystifying the Vein Dilemma Have you ever looked at your legs and wondered about those tiny web-like patterns or bulging veins? Don’t worry; you’re not alone. Many of us are puzzled by the intriguing world of veins. In this article, we’ll unravel the mystery surrounding spider veins vs. varicose veins, exploring their differences, causes, and potential…

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Beam Flawlessly With Chicago Laser Hair Removal Treatment

Having flawlessly milky smooth skin is desired by many and for which people opting for so many options like waxing, shaving, tweezing and threading but now thanks to Chicago laser hair removal bid goodbye to the pain, rash, wastage of money and time. Charming Skin & Vein Clinics have brought to you this amazing treatment not only in Chicago but also in Oak Brook, Orland Park, Des Plaines, Villa Park and nearby regions.

Charming Skin & Vein Clinics

Regarded as one of the best Chicago laser hair removal clinics, Charming Skin & Vein Clinics excels in the field of cosmetic & plastic surgery & provides treatment ranging from varicose veins, ageing, Botox, Obesity surgery etc. It runs under the attentive and careful supervision of Dr. Jawdat Abboud.

Laser hair removal

In this process hair removal is done by exposing the skin to pulses of laser light that destroys the hair follicle. Before coming in vogue this experiment has been carried out for almost 20 years before becoming commercially available in the mid-1990s. It is widely practiced in clinics thanks to the benefits it reap for patients.

How it is performed at Charming Skin & Vein Clinics

The laser or pulsed optical & radiofrequency is used in Chicago laser hair removal procedure where laser is set up and turned on for a fraction of a single second & to let the energy emitted by it which then is selectively absorbed by pigment in hair follicle. All this time during the procedure the time duration of laser is very carefully maintained so that follicle gets disabled but rest of the skin shouldn’t be harmed by it. After all cooling gel is used to comfort the heated & red skin and this is all get done by the specialisthimself/herself. For more information you can visit Doctor@charmingskin.com and can call on 630/974-1400.

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If you find the provider for laser vein treatment Chicago? Visit at Charming Skin & Vein Clinics that has an excellent doctor and laser experts that will help to get rid of varicose veins and spider veins. For Booking an Appointment you can contact us at 630-974-1400 now.

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Can AI Make Healthcare Human Again? Dr. Topol Says “Yes”

“The Fourth Industrial Age,” Dr. Abraham Verghese writes, “has great potential to help, but also to harm, to exaggerate the profound gap that already exists between those who have much and those who have less each passing year.”

Dr. Verghese asserts this in his forward to Deep Medicine, Dr. Eric Topol’s latest work which explores the promise of artificial intelligence (AI), Big Data, and robotics — three legs of the Fourth Industrial Age stool.

[If you don’t know the work of Dr. Verghese, and since you’re reading the Health Populi blog, you must get to know Dr. V now. Your first dip into his wisdom should be “A Doctor’s Touch,” his TED talk from 2011 with over 1.5 million views. You will thank me for pointing you to this pearl. You will want to know more. But before diving deeply, let’s return to the main vein of this post, Dr. T’s latest].

We want our physicians to know us, deeply indeed, through all of our “omes:” genome, proteome, metabolome, transcriptome, and so on, Dr. V observes. We want our physicians to give us time and attention, “to acknowledge the locus of disease on our body and not on a biopsy or an image or a report,” he continues.

Ultimately, we want our doctors to know, “what we live for and would die for,” Dr. V concludes his forward.

Thus begins the promise of Deep Medicine, and how AI can make healthcare human again, via Dr. Topol’s tagline to the title.

This book picks up where The Patient Will See You Now and The Creative Destruction of Medicine leave off…on the future of medicine, versus what’s led up to where we are now. In the first chapter introducing the concept of “deep medicine,” Dr. Topol starts with the

He follows up the promise of AI in chapter two, discussing the deep economic mess American health care is in. This is familiar territory here in Health Populi where we cover every nook and cranny of dismal U.S. health economics, and hopeful green shoots for making health care more cost-effective, high quality, engaging and even enchanting-by-design. “Shallow Medicine” is the theme of this discussion, which includes the word cloud shown here describing Americans’ views on doctors in 2017, published in a JAMA Surgery article called, “Patient Perceptions About Their Physician in 2 Words: The Good, the Bad, and the Ugly.”

The U.S. spends too much money for too little ROI on that spending, from hospital care and dental services to prescription drugs and what ultimately illustrates wasted life and potential in American society: maternal, infant and child mortality, which is by far the worst outcome in a developed nation and as bad as some much poorer countries experience.

Shallow calls for Going Deep for medical diagnosis, Dr. Topol argues, talking about the opportunities afforded by looking at a cluster of symptoms, second (or more) opinions, crowdsourcing diagnoses, and leveraging citizen science: the role of engaged lay people who share the details of their illnesses and pay-it-forward through that sharing — for peer patients today, and future patients.

Dr. Topol then teaches us about the Skinny on Deep Learning, making sure we understand that getting labels and “ground truths” right is critical for building useful algorithms. But wait — what’s an algorithm, anyway? It’s more than “if this, then that,” Dr. T. warns. He quotes Massimo Mazzotti of UC Berkeley, who calls out that “algorithm” means a program running on a physical machine, as well as its effects on other systems. This is obviously important as doctors grow to count on AI in medicine with a systems perspective on human health.

Furthermore, Dr. T. refers us to Yuval Noah Harari whose book Homo Deus is groundbreaking (and a must-read for Health Populi readers, too). “‘Algorithm’ is arguably the single most important concept in our world. If we want to understand our life and our future, we should make every effort to understand what an algorithm is, and how algorithms are connected with emotions….99 percent of our decisions…are made by the highly refined algorithms we call sensations, emotions and desires,” Harari wrote in his book. He’s very concerned about faith in algorithms’ power, Dr. T observes, noting Harari says that faith is “dataism.”

With this caveat in mind, Dr. T explains that algorithms lie on a continuum from human guided to entirely machine guided. These latter algorithms are the deep learning ones, deep neural networks (DNNs). Four converging forces underlie DNNs:

Big Data sets

Dedicated graphic processing units (GPUs) which are the founding for speedy computations

Cloud computing and the ability to store massive amounts of data, and

Open-source algorithms.

DNNs have already been adopted in gaming, images (useful for image recognition for biometrics, for example), voice/speech/translation, and autonomous cars. Ironically, Dr T points out that “neural networks” really aren’t all that “neural.” Brains really don’t work like machines.

Deep learning AI complements human learning, Dr. T asserts. There’s bias in algorithms, and bias in human thinking, too, explored in the chapter “Deep Liabilities.” We know bias is, “baked into the system,” Dr. T admits, because patients in clinical trials are rarely generalizable to the overall population. The inequities have medical implications, Harari wrote in Homo Deus: “twentieth century medicine aimed to heal the sick, but twenty-first century medicine is increasingly aiming to upgrade the healthy.” There’s an AI-fueled gap between have’s and have not’s, with AI biases often adversely impacting the most vulnerable people in society.

With this further caveat in mind, recognizing that U.S. public policy in current form protects neither the vulnerable nor the hackable, Dr. T talks about the promise of AI to enhance doctors’ ability to diagnose conditions “with patterns” and without patterns, along with detecting and supporting patients’ mental health. AI also supports health system management (like preventing readmissions or predicting staff requirements over a time period), discovering cures, informing nutrition based on N’s of 1’s, and providing care to people who may live in rural or under-served areas.

The promise is to drive Deep Empathy, the last chapter hopefully concludes. An introductory quote from Aldous Huxley (author of Brave New World) suggests where this section will go: “By these means we may hope to achieve not indeed a brave new world, no sort of perfectionist Utopia, but the more modest, and much more desirable objective — a genuinely human society.” Ideally, AI can give the clinician and the patient the gift of time, replacing the “scut work” and wasted work-flow with time to be human. Beyond time, people on both sides of the diagnosis and treatment process desire empathy. No machine will alleviate “suffering,” Dr T writes: this requires human-to-human bonding, time and trust.

The last page of the book takes on the book’s title, “Deep Medicine.” “We’re still in the earliest days of AI in medicine….long on computer algorithmic validation…but very short on real-world, clinical proof of effectiveness,” Dr T realizes. The triad of deep phenotyping, understanding a person’s many layered-data, deep learning, and deep empathy, could remedy the economic unsustainability in healthcare, he hypothesizes. That comes second to what’s even more important, bringing the book’s optimistic tagline full circle: “Presence. Empathy. Trust. Caring. Being Human.”

AI can help us restore the humanity between physicians and patients. At the end, Dr T says we must embrace the opportunity to do so.

Health Populi’s Hot Points:  In an essay last week in Brookings, Bob Kocher and Zeke Emanuel ask the question, “Will Robots Replace Doctors?”  Kocher, a long-time venture capitalist who has funded many a health care innovator via the VC firm Venrock, and Dr. Emanuel, who heads the Department of Medical Ethics and Health Policy at the University of Pennsylvania along with being a venture partner at Oak HC/FT, speak to the public policy, economic, clinical and all-to-human challenge of AI bias. “Before we entrust our care to AI systems and ‘doctor robots,’ we must first commit to identifying bias in datasets and fixing them as much as possible. Furthermore, AI systems need to be evaluated not just on the accuracy of their recommendations, but also on whether they perpetuate or mitigate disparities in care and outcomes,” Kocher and Emanuel assert.

Addressing biased data sets and algorithms must be part of a new deal on health citizenship for Americans, who must also be in control of their personal health data and have a right to quality health care without regard to what state they live in, or whether they’re urban or rural communities. Bias delivered via AI is still bias, and would reinforce and exacerbate the health disparities that have marred American health care for decades and continue to do so.

My family and I are proponents of the Slow Food Movement. Founded in Italy, Slow Food is based on the idea that eating locally sourced food, cooked at home, by hand, shared and savored with other people bolsters health on all levels – physical, emotional, financial. That Eric Topol devoted an entire chapter to “Deep Diet” is further evidence that the good doctor gets more than digital health innovations: he also embraces the importance of food-as-medicine and nutrition as a social determinant of health, also one of grand disparities underlying health inequity in the U.S.

One of our family mantras (in addition to Slow Food and the importance and gift of shared family mealtime) we ingrained in our daughter was to “go slow to go fast.” Festina lente, an Italian grandmother might quote Emperor Augustus or the Medici clan: “make haste, slowly.”

With AI married to medicine, we can “go fast to go slow,” to the benefit of both patient and provider.

The post Can AI Make Healthcare Human Again? Dr. Topol Says “Yes” appeared first on HealthPopuli.com.

Can AI Make Healthcare Human Again? Dr. Topol Says “Yes” posted first on http://dentistfortworth.blogspot.com

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Know the Ways To Bid Goodbye To  Spider and Varicose Veins

Spider veins are thin thread-like bluish-red structures that appear on the surface of the skin. Although typically they concentrate on the legs, ankles and the thighs, one may notice spider skin on faces as well. Although not the same as varicose veins, spider skin or spider vein may well be termed as the precursor to varicose veins and other deep venal problems.

Although previously surgery was the sole method to curb the spread of spider skin and varicose veins, nowadays effective laser treatments, which are minimally invasive alternatives to surgeries, are commoner and more effective as well.

In USA, varicose veins and spider vein treatment in Chicago is regarded as the best. Some laser treatment institutes, like Charming Skin & Vein Clinics, offer the best laser treatment. These institutes are located in Orland Park and Oak Brook as well to help cure as many people as possible from this ugly disorder.

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leg swelling

Unraveling the Connection: Leg Swelling and Varicose Veins   Introduction Welcome to the in-depth exploration of the fascinating link between leg swelling and varicose veins. In this comprehensive guide, we will unravel the complexities surrounding these two interconnected issues. Whether you’re seeking answers for personal understanding or aiming to help others, this article will provide…

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Vascular Surgeon Near Me

Unveiling the Expertise: Your Vascular Surgeon Near Me Are you on the lookout for a vascular surgeon near me (you), someone who understands the intricacies of vascular health and ensures personalized care? Look no further! In this comprehensive guide, we’ll explore the renowned Charming Skin Vein Clinics and their locations in Oak Brook IL, Chicago IL, Orland Park IL, Dyer IN, Villa Park IL, Oak…